Efeitos das Recomendações de Líderes de Opinião em Mídias Sociais sobre a Intenção de Compra de seus Seguidores

ID:
47911
Resumo:
Objetivo: – O objetivo deste estudo é investigar como o consumidor é influenciado em sua intenção de compra após ter acesso, em mídias sociais virtuais, a mensagens com capacidade de persuasão passadas por líderes de opinião digitais. Metodologia: – Coleta de dados via questionário digital (survey) e análise de dados via modelagem de equações estruturais. Resultados: – Observou-se que um líder de opinião digital capaz de gerar mensagens persuasivas consegue mudar a atitude de seus seguidores e fazer que aceitem a informação fornecida, influenciando a intenção de compra dos produtos avaliados. Contribuições: – Os resultados apontam que foi possível verificar a relação direta e positiva entre a capacidade de persuasão de uma mensagem e a aceitação da informação contida nessa mensagem e entre a mensagem persuasiva e a mudança de atitude em relação à compra do bem avaliado por ela. Isso realça a relevância desses líderes de opinião para a definição de estratégias de marketing pelas empresas.
Citação ABNT:
NUNES, R. H.; FREITAS, A. S.; RAMOS, F. L. Efeitos das Recomendações de Líderes de Opinião em Mídias Sociais sobre a Intenção de Compra de seus Seguidores. Revista Brasileira de Gestão de Negócios, v. 20, n. 1, p. 57-73, 2018.
Citação APA:
Nunes, R. H., Freitas, A. S., & Ramos, F. L. (2018). Efeitos das Recomendações de Líderes de Opinião em Mídias Sociais sobre a Intenção de Compra de seus Seguidores. Revista Brasileira de Gestão de Negócios, 20(1), 57-73.
DOI:
10.7819/rbgn.v20i1.3678
Link Permanente:
https://www.spell.org.br/documentos/ver/47911/efeitos-das-recomendacoes-de-lideres-de-opiniao-em-midias-sociais-sobre-a-intencao-de-compra-de-seus-seguidores/i/pt-br
Tipo de documento:
Artigo
Idioma:
Português
Referências:
Ajzen, I.; Fishbein, M. (1977). Attitudebehavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888-918.

Ajzen, I.; Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.

Araujo, T.; Neijens, P. (2012). Friend me: Witch factors influence top global brands participation in social network sites. Internet Research, 22(5), 626-640.

Berthon, P.; Pitt, L.; Plangger, K.; Shapiro, D. (2012). Marketing meets web 2.0, social media, and creative consumers: Implications for international marketing strategy. Business Horizons, 55, 261-271.

Bhattacherjee, A.; Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805-825.

Byrne, B. (2010). Structural equation modeling with AMOS: Basic concepts, applications and programming. (2nd ed.). New York: Routledge.

Cacioppo, J.; Petty, R.; Kao, C.; Rodriguez, R. (1986). Central and peripheral routes to persuasion: An individual difference perspective. Journal of Personality and Social Psychology, 51(5), 1032-1043.

Calder, B.; Malthouse, E.; Schaedel, U. (2009). An experimental study of the relationship between online engagement and advertising effectiveness. Journal of Interactive Marketing, 23(4), 321-331.

Carneiro, J.; Dib, L. (2011). O uso da internet em surveys: Oportunidades e desafios. Administração: Ensino e Pesquisa, 12(4), 641-670.

Chaiken, S.; Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460-473.

Chang, M.; Cheung, W.; Lai, V. (2005). Literature derived reference models for the adoption of online shopping. Information Management 42(4), 543-559.

Cheung, C.; Lee, M.; Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247.

Cheung, C.; Thadani, D. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461-470.

Cheung, M.; Luo, C.; Sia, C.; Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of online consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38.

Cho, Y.; Hwang, J.; Lee, D. (2012). Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach. Technological Forecasting & Social Change, 79(1), 97-106.

Deutsch, M.; Gerard, H. (1955). A study of normative and informational social influences upon individual judgment. Journal of Abnormal and Social Psychology, 51(3), 629-636.

Dodds, W.; Monroe, K.; Grewal, D. (1991). Effect of price, brand, and store information on buyers’ product evaluation. Journal of Marketing Research, 28(3), 307-319.

Eagly, A.; Chaiken, A. (1993). The Psychology of Attitudes. Fort Worth, TX: Harcourt, Brace, Jovanovich.

Eck, P.; Jager, W.; Leeflang, P. (2011). Opinion leaders’ role in innovation diffusion: A simulation study. Product Innovation Management, 28(2), 187-203.

Fishbein, M.; Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley Publishing.

Fornell, C.; Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Hair, J.; Black, B.; Babin, B.; Anderson, R.; Tatham, R. (2009). Análise Multivariada de Dados. (6a ed.). Porto Alegre: Bookman.

Kumar, N.; Benbasat, I. (2006). Research note: the influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research, 17(4), 425-349.

Leal, G.; Hor-Meyll, L.; Pessoa, L. (2014). Influence of virtual communities in purchasing decisions: The participants’ perspective. Journal of Business Research, 67(5), 882-890.

Lyons, B.; Henderson, K. (2005). Opinion leadership in a computer-mediated environment. Journal of Consumer Behavior, 4(5), 319-329.

Meng, F.; Wei, J.; Zhu, Q. (2011). Study on the impacts of opinion leader in online consuming decision. Proceedings of the international Joint Conference on Service Sciences, 140-144.

Merwe, R.; Heerden, G. (2009). Finding and utilizing opinion leaders: Social networks and the power of relationships. South African Journal of Business Management, 40(3), 65-76.

Nolder, C. J.; Kadous, K. (2017). Grounding professional skepticism in mindset and attitude theory: A way forward. [Working paper] Suffolk University and Emory University. Recuperado de SSRN: http://dx.doi.org/10.2139/ssrn.2524573

Ortega, B. (2011). The role of post-use trust in the acceptance of a technology: Drivers and consequences. Technovation, 31(10-11), 523-538.

Peter, J.; Olson, J. (2009). Comportamento do consumidor e estratégia de marketing. (8a ed.). São Paulo: McGraw-Hill.

Petty, R.; Cacioppo, J. (1984). Source factors and the elaboration likelihood model of persuasion. Advances in Consumer Research, 11, 668-672.

Petty, R.; Haugtvedt, C.; Smith, S. (1995). Elaboration as a determinant of attitude strength: Creating attitudes that are persistent, resistant, and predictive of behavior. In R. E. Petty, & J. A. Krosnick (Eds.), Attitude strength: Antecedents and consequences. (pp. 93-130). New York, NY: Psychology Press.

Rieh, S. (2002). Judgement of information quality and cognitive authority in the web. Journal of American Society for Information Science and Technology, 53(2), 145-161.

Rocha, A.; Ferreira, J. B.; Silva, J. F. (2013). Administração de Marketing: Conceitos, Estratégias e Aplicações. Rio de Janeiro: Atlas.

Rogers, E. (1983). Diffusion of Innovations. (3rd ed.). New York: Free Press.

San Jose-Cabezudo, R.; Camarero-Izquierdo, C.; Rodriguez-Pinto, J. (2012). En busca de los evangelizadores digitales: Por qué las empresas deben identificar y cuidar a los usuários más activos de los espacios de opiniones online. Universia Business Review, 35, 14-31.

Shi, M.; Wojnicki, A. (2014). Money talks… to online opinion leaders: What motivates opinion leaders to make social-network referrals? Journal of Advertising Research, 54(1), 81-91.

Silva, T.; Melo, P.; Almeida, J.; Salles, J.; Loureiro, A. (2013). A picture of Instagram is worth more than a thousand words: workload characterization and application. Proceedings of the International Conference on Distributed Computing in Sensor Systems, 123-132.

Sussman, S.; Siegal, W. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.

Tam, K.; Ho, S. (2005). Web personalization as a persuasion strategy: An elaboration likelihood model perspective. Information Systems Research, 16(3), 271-291.

Tang, L.; Jang, S.; Morrison, A. (2012). DualRoute communication of destination websites. Tourism Management, 33(1), 38-49.

Teng, S.; Khong, K.; Goh, W. (2014b). Conceptualizing Persuasive Messages Using ELM in Social Media. Journal of Internet Commerce, 13(1), 65-87.

Teng, S.; Khong, K.; Goh, W.; Chong, A. (2014a). Examining the antecedents of persuasive eWOM messages in social media. Online Information Review, 38(6), 746-768.

Wang, R.; Strong, D. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-33.

Wei, P.; Lu, H. (2013). An examination of the celebrity endorsements and online customer reviews influence female consumers’ shopping behavior. Computers in Human Behavior, 29(1), 193-201.

Wixom, B.; Todd, P. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102.

Wu, C.; Shaffer, D. (1987). Susceptibility to persuasive appeals as a function of source credibility and prior experience with the attitude object. Journal of Personality and Social Psychology, 52(4), 677-688.

Wu, P.; Wang, Y. (2011). The influences of electronic word-of-mouth message appeal and message source credibility on brand attitude. Asia Pacific Journal of Marketing and Logistics, 23(4), 448-472.

Zhang, W.; Watts, S. (2008). Capitalizing on content: Information adoption in two online communities. Journal of the Association for Information Systems 9(2), 73-94.